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Record W2171943675 · doi:10.1093/ageing/aft135

Sensorimotor and psychosocial determinants of 3-year incident mobility disability in middle-aged and older adults

2013· article· en· W2171943675 on OpenAlexaff
Nandini Deshpande, Jeffrey Metter, J. Guralnik, Stefania Bandinelli, Luigi Ferrucci

Bibliographic record

VenueAge and Ageing · 2013
Typearticle
Languageen
FieldHealth Professions
TopicBalance, Gait, and Falls Prevention
Canadian institutionsQueen's University
FundersNational Institute on AgingNational Institutes of HealthMinistero della Salute
KeywordsMedicinePsychosocialGerontologyDepression (economics)Physical therapyPhysical medicine and rehabilitationQuartileProspective cohort studyPopulationPsychiatryConfidence intervalInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: to identify sensorimotor and psychosocial determinants of 3-year incident mobility disability. DESIGN: prospective. SETTING: population-based sample of community-dwelling older persons. PARTICIPANTS: community-living middle-aged and older persons (age: 50-85 years) without baseline mobility disability (n = 622). MEASUREMENTS: mobility disability, defined as self-reported inability to walk a quarter mile without resting or inability to walk up a flight of stairs unsupported, was ascertained at baseline and 3-year follow-up. Potential baseline determinant characteristics included demographics, education, social support, financial condition, knee extensor strength, visual contrast sensitivity, cognition, depression, presence of chronic conditions and history of falls. RESULTS: a total of 13.5% participant reported 3-year incident mobility disability. Age ≥75 years, female sex, knee extensor strength in the lowest quartile, visual contrast sensitivity <1.7 on the Pelli-Robson chart or significant depressive symptoms (CESD score >16) were independent determinants of 3-year incident mobility disability (ORs 1.84-16.51). CONCLUSIONS: low visual contrast sensitivity, poor knee extensor strength and significant depressive symptoms are independent determinants of future onset of mobility disability.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.438

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.327
Teacher spread0.306 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations20
Published2013
Admission routes1
Has abstractyes

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